Tang, An

The Liver Tumor Segmentation Benchmark (LiTS)

Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., et al. (2019) · arXiv

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1,412

The Liver Tumor Segmentation Benchmark (LiTS)

Bilic, P., Christ, P., Li, H. B., Vorontsov, E., Ben-Cohen, A., Kaissis, G., Szeskin, A., Jacobs, C., Mamani, G. E. H., Chartrand, G., et al. (2023) · Medical Image Analysis

Medical Image Segmentation TechniquesBrain Tumor Detection and Classification

Cited by 1,412

Deep Learning: A Primer for Radiologists

Chartrand, G., Cheng, P. M., Vorontsov, E., Drozdzal, M., Turcotte, S., Pal, C. J., Kadoury, S., & Tang, A. (2017) · RadioGraphics

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 1,115

Checklist for Artificial Intelligence in Medical Imaging (CLAIM): 2024 Update

Tejani, A. S., Klontzas, M. E., Gatti, A. A., Mongan, J. T., Moy, L., Park, S. H., Kahn, C. E., Panel, F. T. C. 2. U., Abbara, S., Afat, S., et al. (2024) · Radiology: Artificial Intelligence

Artificial Intelligence in Healthcare and EducationRadiomics and Machine Learning in Medical Imaging

Cited by 570

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

Geis, J. R., Brady, A. P., Wu, C. C., Spencer, J., Ranschaert, E., Jaremko, J. L., Langer, S. G., Borondy Kitts, A., Birch, J., Shields, W. F., et al. (2019) · Radiology

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 388

Ethics of Artificial Intelligence in Radiology: Summary of the Joint European and North American Multisociety Statement

Geis, J. R., Brady, A. P., Wu, C. C., Spencer, J., Ranschaert, E., Jaremko, J. L., Langer, S. G., Kitts, A. B., Birch, J., Shields, W. F., et al. (2019) · Canadian Association of Radiologists Journal

Artificial Intelligence in Healthcare and EducationEthics and Social Impacts of AI

Cited by 140

Marked difference in liver fat measured by histology vs. magnetic resonance-proton density fat fraction: A meta-analysis

Qadri, S., Vartiainen, E., Lahelma, M., Porthan, K., Tang, A., Idilman, I. S., Runge, J. H., Juuti, A., Penttilä, A. K., Dabek, J., et al. (2024) · JHEP Reports

Liver Disease Diagnosis and TreatmentAdvanced MRI Techniques and Applications

Cited by 55

Impact of Reference Standard on CT, MRI, and Contrast-enhanced US LI-RADS Diagnosis of Hepatocellular Carcinoma: A Meta-Analysis

van der Pol, C. B., McInnes, M. D. F., Salameh, J.-P., Chernyak, V., Tang, A., Bashir, M. R., for the LI-RADS IPD Group, Allen, B. C., Burke, L. M. B., Choi, J.-Y., et al. (2022) · Radiology

Hepatocellular Carcinoma Treatment and PrognosisRadiomics and Machine Learning in Medical Imaging

Cited by 38

SEMI-automated liver CT segmentation using Laplacian meshes

Chartrand, G., Cresson, T., Chav, R., Gotra, A., Tang, A., & DeGuise, J. (2014) · 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)

Medical Image Segmentation TechniquesMedical Imaging and Analysis

Cited by 32

Liver Stiffness at MR Elastography: A Surrogate Biomarker for Staging Liver Fibrosis, Predicting Clinical Outcomes, and Selecting Patients

Tang, A. (2024) · Radiology

Liver Disease Diagnosis and TreatmentUltrasound Imaging and Elastography

Cited by 3